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properties that promote the metastatic cascade. Combining high-resolution fluorescence photonic imaging with phenotypic analyses of metastatic behavior, this project will quantify the oncogenic cocktail
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Description The overarching mission is to conduct research combining machine learning, data assimilation, and physical modeling to enhance short-term (days/weeks) forecasts of Arctic sea ice conditions. The
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elements and motivation strategies for patients. Subsequently, the research will explore avenues for developing artefacts combining digital and physical properties. Initial laboratory experiments will be
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-compatible measurement system using a coplanar waveguide architecture, assess their sensitivities, evaluate the possibilities of combining them, and test them with real biological samples—going beyond simple
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accurately. The ANR FaSiRé project, led by C. Perrin (Laboratory of Planetology and Geosciences, CNAP/Univ. Nantes), aims to fill this gap by combining geomorphological, palaeoseismological and archaeological
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comparative approach in three South American countries: Brazil, Chile and Colombia. The design of the project is based on a methodology combining three types of research: classic academic, experimental and with
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“what and how to convey” must be addressed: - the selection and organization of the information to be rendered, since this involves combining information from text and images while making narrative
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focuses on upcycling: using these carbenes in their excited state to modify polymers derived from waste and give them a second life. The thesis will combine organic synthesis, polymer chemistry, and
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and/or Al content (2), and pre-deformed samples (3). • Application of high-speed nanoindentation maps combined with EBSD and/or EDX measurements that allows for data merging/correlative measurements
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in process engineering, design of experiments, numerical simulation, thin film characterizations by a combination of structural, chemical and physical methods (XRD, Raman, IRTF, SIMS, XPS, Ellipsometry